Decisional DNA applied to robotics

Authors:
Haoxi Zhang;Cesar Sanin;Edward Szczerbicki
Affiliations:
Faculty of Engineering and Built Environment, School of Engineering, The University of Newcastle, Callaghan, NSW, Australia;Faculty of Engineering and Built Environment, School of Engineering, The University of Newcastle, Callaghan, NSW, Australia;Faculty of Engineering and Built Environment, School of Engineering, The University of Newcastle, Callaghan, NSW, Australia
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

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Abstract

As a domain-independent, flexible and standard knowledge representation structure, Decisional DNA allows its domains to acquire and store experiential knowledge and formal decision events in an explicit way. In this paper, we explore an approach that integrates Decisional DNA with robots in order to test the usability and availability of this novel knowledge representation structure. Core issues in using this Decisional DNA-based method include capturing of knowledge, storage and indexing of knowledge, organization of the knowledge base memory, and retrieval of knowledge from memory according to current problems. We demonstrate our approach in a set of experiments, in which the robots capture knowledge from their tasks and are able to reuse such knowledge in following tests.